impute_sd | R Documentation |
Impute standard deviation from measures of dispersion.
impute_sd(point, var1, var2, n, vartype)
impute_sd_sd(point, var1, var2, n, vartype)
impute_sd_cv(point, var1, var2, n, vartype)
impute_sd_se(point, var1, var2, n, vartype)
impute_sd_ci(point, var1, var2, n, vartype)
impute_sd_iqr(point, var1, var2, n, vartype)
impute_sd_range(point, var1, var2, n, vartype)
point |
The point estimate (measurement of central tendency) |
var1, var2 |
The first and second measures of dispersion ('var2' is not required for all imputation methods) |
n |
The number of observations contributing to the measurement |
vartype |
The type of dispersion (case insensitive; see Details) |
impute_sd
selects the imputation method based on
vartype
.
impute_sd_sd()
imputes the standard deviation from itself
(not really imputation). var1
is the standard deviation;
var2
must be NA
; vartype
must be "SD" (ignoring case);
and n
is ignored.
impute_sd_cv()
imputes the standard deviation from the
coefficient of variation (CV). var1
is the CV; var2
must be
NA
; vartype
must be "CV", "%CV", or "CV%" (ignoring case);
and n
is ignored.
impute_sd_se()
imputes the standard deviation from the
standard error (SE). var1
is the standard error of the mean;
var2
must be NA
; vartype
must be "SE" or "SEM"
(ignoring case); and n
is required. Imputation assumes a sample,
not population, SE.
impute_sd_ci()
imputes the standard deviation from the
confidence interval (CI). var1
is the lower bound of the CI;
var2
is the upper bound of the CI; vartype
must match the
regular expression "^([0-9]+)% CI$" (ignoring case); and n
is
required. If only an upper or lower bound of the CI is available, set the
other to NA
. Imputation assumes a t-distribution.
impute_sd_iqr()
imputes the standard deviation from the
inter-quartile range (IQR). var1
is the lower bound of the IQR;
var2
is the upper bound of the IQR; vartype
must be "IQR"
(ignoring case); and n
is required. Imputation assumes a
t-distribution.
impute_sd_range()
imputes the standard deviation from the
range. var1
is the lower bound of the range; var2
is the
upper bound of the range; vartype
must be "RANGE" (ignoring case);
and n
is required. Imputation is performed by computing (var2
- var2)/4
. This should be the last choice of imputation methods.
A vector of imputed standard deviations
Cochrane Handbook, version 5.1 https://handbook-5-1.cochrane.org/chapter_7/7_7_3_data_extraction_for_continuous_outcomes.htm
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